Adobe acquired Omniture in 2009 and re-branded the platform as SiteCatalyst. It is now part of Adobe Marketing Cloud along with other products such as social marketing, test and targeting, and tag management.
SiteCatalyst is one of the leading vendors in the web analytics category and is particularly strong in combining web analytics with other digital marketing capabilities like audience management and data management.
Adobe Analytics also includes predictive marketing capabilities that help…
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Vimeo
Score 8.4 out of 10
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Vimeo is a video experience platform. They enable anyone to create high-quality video experiences to connect and bring ideas to life. They proudly serve their growing community of nearly 300 million users — from creative storytellers to globally distributed teams at the world's largest companies.
Adobe Analytics is better than some other tools as it feels better set up for actual "analysis", rather than simply "reporting". The power of Workspace allows you to drag 'n' drop at ease which makes you are far more in control of your own analysis/discovery/exploration. However, regards the final reports and dashboards' look 'n' feel the Workspace PDF output is lacking visually compared to other products like Google's Looker. To engage with less technical end users sometimes Looker feels the better, more polished option.
For an overall professional appearance of Vimeo, I think it looks fabulous for the clients we work with. I think it works extremely well to host videos for courses and training that can be paid training. The privacy feature is great for that. I've never used it for going LIVE and wonder if that might be a good option for businesses but since I haven't tried it, I'm not of the capabilities. And I'm not sure how the clients are able to get on the LIVES. It does have so many new features since I started 4 years ago, and that means that there is a higher learning curve if you want to make full use of this platform.
They've been really an industry standard tool in analytics for a long, long time. They've got the trusted brand and the reputation, a wonderful community behind it. It is always nice, having that level of support where you can meet other practitioners. It's a great benefit because I can meet other people who have already pushed the tool a lot farther than I have. And it's a great place to get ideas in that way. We came from a world where we were running on a homegrown system that we'd use to do click tracking. You get some advantages on that of the customization, but losing out on community of support was one of the big reasons why we decided to move beyond that and implement Adobe Analytics instead.
User-friendly interface for administrators of the account and external viewers. Being able to easily navigate a new platform or software is ideal for anyone.
Seamless sharing and embedding across many platforms. Vimeo is well-recognized so it makes it easy for other platforms to recognize Vimeo. The compatibility is outstanding.
As an administrator of the account, being able to select viewing privileges may seem like a basic function, but it's so necessary right now with how heavy our organization is utilizing the platform. We can mass upload content early and only release it for the public over time by simply changing it to a public video.
Most of the problems that Adobe Analytics as of now is having, it is getting addressed in a newer tool called Web Desk DK from implementation. They are already addressing that issue with the new tool and also the time data with the customer general analytics. So there is something not in workspace analysis and this is what they're addressing in customer general analytics. Which is good.
Price - For the full featureset of Vimeo, you will be paying $900 a year as of 2020, and this is expected to only go up over time. Thankfully, Vimeo offers lower tiers with less functionality, and most people will not need the unlimited streaming viewers or whopping 7 TB of storage that you get for the highest level of membership. But it is still a premium price for a premium service.
"Suggested" Algorithm - The equivalent of YouTube's suggested videos feature is the Vimeo Staff Picks, which recommends curated content from their team of editors. While this content generally has a high level of production, it is not especially relevant to the video you are watching, or to your watch history as a user. I rarely watch suggested videos in Vimeo.
Search - The Vimeo search page is beautiful, having huge thumbnails of videos with a clean, visually-appealing layout. However, the results themselves leave much to be desired. When I search for "jung" to try to find videos on Swiss psychologist C. G. Jung, of the first 18 results, not a single result is actually about C. G. Jung. On Youtube, the first 14 results are all about Jung. When I search for "c. g. jung" on Vimeo I find a number of relevant results, so it's not that the videos are not available in Vimeo. Rather, the search algorithm is not returning relevant results.
We've found multiple uses for Adobe Analytics in our organization. Each department analyzes the data they need and creates actionables based off of that data. For E-Commerce, we're constantly using data to analyze user engagement, website performance and evaluate ROI.
Sometimes the processing times are very long. I have had reports or dashboards time out multiple times during presentations. It could be improved. It is understandable since there is a huge data set that the tool is processing before showing anything, however for a company that large they should invest in optimizing processing times.
The design is clean and intuitive for the most part, which allows for ease of use by both novice and experience users. We are grateful for the ways that the front-end video player is easy to navigate and intuitive to use, and the backend is generally designed the same way. Tools and options are where you expect to find them, and it was easy to navigate the storage on the backend through folders and content filters
I do not ever recall a time when Adobe Analytics was unavailable to me to use in the 8 or so years I have been an end user of the product. My most-used day-to-day analytics tool Parse.ly however, generally has a multiple hours planned offline maintenance every two to four weeks, and sometimes has issues collecting realtime analytics that last anywhere between 15 minutes to an hour, and happen anywhere between 1 to 5 times a month.
Again, no issues here. Performance within the day updates hourly. other reports are updated overnight and available to access by the next morning. Pages load quickly, the site navigates easily and the UX is quite straightforward to get command over. On this front, I give Adobe kudos for building a great experience to work within
I barely see any communication from Adobe Analytics. The content on the web is also not that great or easy to read. I would recommend a better communication about the product and the new addons information to come to its user by a better mean.
Terrible support. When I subscribed to Premium we were guaranteed support. However, after the first e-mail I received from them, I never heard from them again. I sent several emails over the course of a couple of weeks acknowledging that due to covid, I did not expect a miracle overnight and that I was keen to work on the issue with them. I have not heard from customer service at all. This is very disappointing. We lost customers due to the poor quality of the livestreams and were left to sort the issue out without their help.
It was a one-day training several years ago that cost the organization several thousand dollars. There were only about 10 people in the training class. Adobe tried to cram so much information into that one-day class that none of our users felt like they really learned anything helpful from the experience. Follow-up training is too expensive
The online training for Adobe SiteCatalyst consists of short product videos. These are ok, but only go so far. For a while Adobe charged a fee for this, but recently made these available for free. There are many great blog posts that help users learn how to apply the product as well.
One of the benefits and obstacles to successfully using Adobe Analytics is a great / more accurate implementation, make sure your analytics group is intimate with the details of the implementation and that the requirements are driven by the business.
I think Adobe's been around longer as a product but Tealium, from when I did research, it has auto-tagging. So one of my biggest pet peeves is when I'm rolling out new features, and whether it's an app or a website, is that I have to go speak with our metrics team or tagging team and we have to come up with these different strategies. Okay, how are we gonna tag it? What are we going to name it? It just seems like a lot of wasted time in my opinion. I want to track everything. I want to know every single thing these people are doing. We shouldn't have to have this conversation if we tag this, you might not have time to tag this right away for MVP. It's like that to me right now. That shouldn't even be a conversation. I should be able to release a feature, I should be able to just automatically go pull reports on that. And just figure out exactly what they were doing.
YouTube was the platform we primarily used previously, after having restrictions and having locked out of a couple of accounts we needed a better platform. We also lost some of our videos. We also have an internal app to track client videos and Vimeo supported it better. With the increased storage and the number of videos we create, we decided Vimeo would be better.
Adobe Analytics is relatively affordable compared to other tools, given it provides a range of flexible variables to use that I have not found in any other tools so far. It is worth investing in if your company is medium or large-sized and brings a steady flow of revenue. For small companies, it can be overpriced.
My organization uses Adobe Analytics across a multitude of brand portfolios. Each brand has multiple websites, mobile apps and some even have connected TV apps/channels on Roku and similar devices. Adobe can handle the multitude of properties that have simple, small(ish) websites and the larger brand properties that include web, mobile and connected TVs/OTT devices.
Each of those larger brands has multiple categories and channels to keep track of. We can see the data by channel/device or aggregate all the data together. This gives our executive teams the full picture and the departmental teams the view they need to see their own performance.
The professional services team is one of the best teams for complex adobe analytics implementations, especially for clients having multiple website and mobile applications. However, the cost of professional services is a bit high which makes few clients opt out of it, but for large scale implementations they are very helpful
I like to think it's positive. It's a very steep learning curve, so we do face a lot of challenges with adoption inside of the companies. My team and I evangelize this and also who's in charge of data and advanced analytics, but it's very hard to leverage that with typical business analysis people. These are people who live their life in Excel and SQL and Power BI. They just use this very occasionally and by only looking at that sort of aggregate data, they miss out on behavior and what actually happens in execution. And because it's such a steep learning curve, we do have a challenge pushing it in there.
